Non-Destructive Evaluation of Asphalt Concrete Pavement System Using Fwd Tests Considering Modeling Errors

Title
Non-Destructive Evaluation of Asphalt Concrete Pavement System Using Fwd Tests Considering Modeling Errors
Author(s)
이진학; 김영상; 김재민; 문성호
KIOST Author(s)
Yi, Jin Hak(이진학)
Publication Year
2007-10-19
Abstract
The structural integrity assessment technique for the asphalt pavement system is studied considering the modeling errors introduced by material uncertainties. To this end, the artificial neural network is utilized to estimate the elastic modulus of soil layers using the measured deflection data from the FWD (Falling Weight Deflectometer) test. A wave analysis program for a multi-layered pavement system is developed based on the spectral element method for more accurate and faster calculation. The developed program is applied for the numerical simulation of the FWD tests, the generation of training and testing patterns for the neural network. The evaluation capability of neural network is investigated when the input data is corrupted by the modeling errors, and it is found that the estimation results can be significantly deviated due to the modeling errors. To reduce the effect of the modeling error, (in other words to improve the robustness of the algorithm), we proposed an alternative scheme to generate the training patterns considering modeling errors, and it is finally concluded that the estimation results can be improved by using the proposed training patterns from extensive numerical simulation study.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/30291
Bibliographic Citation
The 2nd Internation Conference on Advanced Non-Destructive Evaluation, pp.1, 2007
Publisher
ANDE
Type
Conference
Language
English
Publisher
ANDE
Related Researcher
Research Interests

Ocean Energy-Tidal Current Energy Converter System,Infrastructure Management-Structural Health Monitoring,Offshore Wind,해양에너지-조류발전시스템,시설물 유지관리-구조건전성 평가,해상풍력

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